Kevin B Kern

Title: Kevin B. Kern: Innovator in Color Tolerancing Technology

Introduction

Kevin B. Kern is an accomplished inventor based in Manasquan, NJ (US). He has made significant contributions to the field of color measurement and tolerancing through his innovative patent. His work focuses on employing fuzzy logic to enhance the accuracy and efficiency of color tolerancing systems.

Latest Patents

Kevin B. Kern holds a patent for a "Color Tolerancing System Employing Fuzzy Logic." This patent describes a color measuring system that utilizes fuzzy logic to establish acceptable pass/fail tolerances for production or inventory samples. The system defines a super ellipsoid with six individual tolerance coordinates. Initially, tolerances are defined by the high and low values of pass samples in a training set, which represent a population of visually rated pass and fail samples. A classifier template uses these tolerances to rank every sample in the training set. Any discrepancies between the pass/fail ranking and the visual rank are considered errors. The system sums all error distances and processes the samples through fuzzy logic in an induction module to minimize the error distance. This iterative process continues until a minimum error distance is achieved, allowing for accurate ranking of subsequent samples as either pass or fail. Additionally, shade sorting can be accomplished by rating training samples for both centroid color differences and shade differences.

Career Highlights

Kevin B. Kern is associated with Color and Appearance Technology, Inc., where he applies his expertise in color measurement technologies. His innovative approach has led to advancements in the industry, particularly in the realm of color tolerancing.

Collaborations

Kevin collaborates with David L. Alston, contributing to the development of cutting-edge technologies in color measurement and tolerancing.

Conclusion

Kevin B. Kern's work in color tolerancing technology showcases his innovative spirit and dedication to improving measurement systems. His contributions have the potential to significantly impact the industry, enhancing the accuracy and efficiency of color quality assessments.